Interconnections: bridges and routers
Interconnections: bridges and routers
Why we don't know how to simulate the Internet
Proceedings of the 29th conference on Winter simulation
A Framework-Based Approach to the Development of Network-Aware Applications
IEEE Transactions on Software Engineering
Simulation of nonGaussian long-range-dependent traffic using wavelets
SIGMETRICS '99 Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
End-to-end arguments in system design
ACM Transactions on Computer Systems (TOCS)
SNMP,SNMPV2,Snmpv3,and RMON 1 and 2
SNMP,SNMPV2,Snmpv3,and RMON 1 and 2
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
Scheduling parallel applications in distributed networks
Cluster Computing
Forecasting network performance to support dynamic scheduling using the network weather service
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
A Resource Query Interface for Network-Aware Applications
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
An Evaluation of Linear Models for Host Load Prediction
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
Enhancing NWS for Use in an SNMP Managed Internetwork
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
SPAND: shared passive network performance discovery
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
Closed loop motion planning of cooperating mobile robots using graph connectivity
Robotics and Autonomous Systems
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The development and performance of network-aware applications depends on the availability of accurate predictions of network resource properties. Obtaining this information directly from the network is a scalable solution that provides the accurate performance predictions and topology information needed for planning and adapting application behavior across a variety of networks. The performance predictions obtained directly from the network are as accurate as application-level benchmarks, but the network-based technique provides the added advantages of scalability and topology discovery. We describe how to determine network properties directly from the network using SNMP. We provide an overview of SNMP and describe the features it provides that make it possible to extract both available bandwidth and network topology information from network devices. The available bandwidth predictions based on network queries using SNMP are compared with traditional predictions based on application history to demonstrate that they are equally useful. To demonstrate the feasibility of topology discovery, we present results for a large Ethernet LAN.